Advanced Phishing data item clustering and Embodiments of the Synergistic Combinations System
Legal Citation
Summary of the Inventive Concept
A sophisticated Phishing data item clustering and Embodiments of the solution that integrates synergistic combinations methodologies to address specific technical challenges in Phishing domain.
Background and Problem Solved
The original Phishing data item clustering and Embodiments of the technology addresses fundamental functionality that can be enhanced through synergistic combinations approaches to improve performance and expand capabilities. However, the source patent does not provide a comprehensive solution for addressing specific technical challenges in Phishing domain. The new concept solves this problem by integrating synergistic combinations methodologies to create a more powerful system.
Detailed Description of the Inventive Concept
A comprehensive technical system that implements synergistic combinations enhancements to the original Phishing data item clustering and Embodiments of the technology. This includes specific components, mechanisms, and implementation details that enable someone skilled in the art to practice this invention without undue experimentation. The system integrates advanced clustering algorithms with artificial intelligence and machine learning techniques to improve the accuracy and efficiency of phishing data analysis. Additionally, the system incorporates blockchain technology to ensure the integrity and security of the data structures. The synergistic combinations approach enables the system to provide more comprehensive and actionable insights to analysts, thereby improving the overall performance and capabilities of the phishing data analysis system.
Novelty and Inventive Step
The new concept's integration of synergistic combinations methodologies with the original Phishing data item clustering and Embodiments of the technology is technically new and non-obvious. The source patent does not suggest or teach the use of synergistic combinations approaches to enhance the original technology. The new concept's inventive step lies in the specific implementation details and the way the synergistic combinations methodologies are integrated to create a more powerful system.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different clustering algorithms, machine learning models, or blockchain architectures. Additionally, the system could be implemented using different programming languages, software frameworks, or hardware configurations. These variations could be used to optimize the system's performance, scalability, or security for specific use cases or industries.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in the cybersecurity industry, particularly in the areas of phishing detection and prevention. The system's ability to provide more comprehensive and actionable insights to analysts makes it an attractive solution for organizations seeking to improve their phishing data analysis capabilities. The market for phishing data analysis solutions is growing rapidly, and the inventive concept is well-positioned to capture a significant share of this market.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| H | H04 | H04L63/1425 |
| G | G06 | G06F16/285 |
| G | G06 | G06Q40/12 |
| H | H04 | H04L63/145 |
| H | H04 | H04L63/1408 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Cybersecurity, Network Security, Data Analysis, and Machine Learning with a focus on Phishing Detection and Data Clustering Technologies
Person of Ordinary Skill (PHOSITA) Profile
A skilled professional with expertise in computer science, network security, and data analysis, possessing advanced knowledge of machine learning techniques, clustering algorithms, and cybersecurity threat detection methodologies
Obviousness Rationale
A PHOSITA would recognize that the PTD's proposed synergistic combinations represent predictable extensions of the source patent's core phishing data clustering technology. The integration of artificial intelligence, machine learning, and blockchain technologies are well-known techniques for enhancing data analysis systems in the cybersecurity domain. The proposed variations represent logical incremental improvements that would be obvious to a skilled practitioner seeking to optimize phishing detection and data clustering methodologies.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 118,951,372 |
|---|---|
| Title | Phishing data item clustering and analysis |